Results 241 to 250 of about 50,299 (283)

Simultaneous tactile–morphological perception enables sensorimotor autonomy in soft robots

Dong H, Xiong Q, Wu X, Chen H, Li L, E SP, Wang C, Li N, Stokes AA, Giorgio-Serchi F, Yang Y.   +10 more
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Planar Evasive Aircrafts Maneuvers Using Reinforcement Learning

Advances in Intelligent Systems and Computing, 2013
In this paper, the reinforcement learning technique is proposed to implement evasive strategies for aircrafts during engagement. A simplified point-mass model is used to describe the aircraft and the missile equations of motion. The missile follows the pure proportional navigation guidance (PPNG) law to attack the aircraft.
Hyochoong Bang
exaly   +2 more sources

Aircraft Evasive Maneuver Trajectory Optimization Based on QPSO

International Congress on Ultra Modern Telecommunications and Control Systems, 2010
This paper introduces a parameterization method for obtaining closed-loop suboptimal solutions to the aircraft evasive maneuver problem, which is transformed into a nonlinear programming problem using Quantum-behaved Particle Swarm Optimization (QPSO) algorithm based on rolling optimization concept.
Dong Xin-Min, Qin-Ying Lin, Xiao-Ping Wang   +2 more
exaly   +2 more sources

Safe Navigation and Evasive Maneuvers Based on Probabilistic Multi-Controller Architecture

IEEE Transactions on Intelligent Transportation Systems, 2022
Automated Driving System (ADS) requires a high fidelity decision-making strategy to palliate to uncertain environment and changing dynamics of other road users. Considering the uniqueness of each traffic situation, the task of modeling every use-case is nearly impossible.
Lounis Adouane, Dimia Iberraken
exaly   +3 more sources

Multi-Hypothesis Evasive Maneuvers for Safe Autonomous Navigation

2021 20th International Conference on Advanced Robotics (ICAR), 2021
Lounis Adouane, Dimia Iberraken
exaly   +2 more sources

An emergency evasive maneuver algorithm for vehicles

2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC), 2011
In this paper a collision avoidance algorithm based on the driver's input is presented. In a near collision situation many drivers try to avoid the obstacle by steering; however, there are many instances that they cannot perform a successful avoidance maneuver, since some may steer too much and go off the road, and others may not steer enough and ...
Damoon Soudbakhsh, Azim Eskandarian, J. Moreau   +2 more
openaire   +2 more sources

Blind evasion by random switching maneuvers

2016 American Control Conference (ACC), 2016
Adjoint theory is used to develop closed-form expressions for the class of zero-mean evasive maneuvers with exponentially-decaying autocorrelation functions against a PN-guided adversary. Solutions are derived for a first-order guidance system model.
Robert Wes Morgan, Jonathan L. Riel
openaire   +1 more source

An Evasive Maneuvering Algorithm for UAVs in See-and-Avoid Situations

2007 American Control Conference, 2007
In this paper, we present an collision avoidance algorithm for unmanned aerial vehicles (UAVs) based on model predictive control. When a UAV encounters other aircraft that is estimated to approach closer than the minimum safety margin, the vehicle must execute an emergency evasive maneuver to avoid the impending collision at all cost.
David Hyunchul Shim, Shankar Sastry 0001
openaire   +1 more source